Volume 1, Issue 1 (2018) Article No. 3 PP 1-5 1 www.viva-technology.org/New/IJRI Extraction of Emoticons with Sentimental Bar Shreyas Wankhede 1 , Ranjit Patil 1 , Sagar Sonawane 1 , Prof. Ashwini Save 2 1 (Computer Engineering, Viva Institute of Technology/ Mumbai University, India) 2 (HOD, Computer Engineering, Viva Institute of Technology/ Mumbai University, India) Abstract :The latest generation of emoticons which are called as emojis that is largely being used in mobile communications as well as in social media. In past few years, more than ten billion emojis were used on Twitter. Emojis which are known as the Unicode graphic symbols, which are basically used as shorthand to express the concepts and ideas of the people. For smaller number of well-known emoticons, their meanings or sentiments are well known but there are thousands of emojis so extracting their sentiments is difficult. The Emoji Sentiment Ranking method which is used to evaluate a sentiment mapping of emojis by using sentiment polarity such as negative, neutral, or positive. The sentimental classification of tweets with and without emoticons are very much different.Finally, the method also gives representation of sentiments and a better visualization in the form of a sentimental Bar. Keywords-Classification of Emoticons, Emoji Sentiment Ranking, Sentiment Bar, Sentiment labels, Sentiment score. 1. INTRODUCTION As the use of social media is increasing day by day, emoticons plays a essential role in communication through technology, and many other devices have provided different forms of pictures that do not use type punctuations. They provide another range of expressions and feelings through texting that conveys specific emotions through facial gestures. Nowadays emoticons on smartphones, in chatting, and in many different applications, have become tremendously popular worldwide. For example, Twitter has become very active in sharing content with comments. According to statistics, around 500 million of tweets are dispensed per day. Each tweet expresses different form of emotions. An emoticon, such as ,  and many others are used for facial expression. It also allows the peoples to express their feelings, moods, and emotions, which replaces and enriches a written message with non-verbal elements. It allows user to understand the feelings of their friends and colleagues in better manner. Some social network sites and microblogging tools such as Twitter allows individuals to express their feelings or opinions to specific results. These short messages which are also known as tweets that includes emotions such as happiness, sadness, anger etc in it. Classification of emoticons is basically done in two categories such as positive emoticons and negative emotions. Positive emoticons consistof love and joy whereas negative emoticons consist of sadness and anger. The simplest forms of representation are the generally denoted as 'emoticon' or 'smiley'. People from Japan popularized a kind of emoticon called kaomoji where ((kao)=face and (moji)=characters) [6]. Sentiment analysis of text is being done by many researchers but for emoticons still it’s in developing stage so it’s a need to research more on emoticons and give it a limelight to know all about emoji for future users.